Literature Review on X-Ray based Pneumonia Detection using Machine Learning and Deep Learning Methods

Abstract

Artificial intelligence has proven to be an effective way in the detection of many diseases. This study presents a literature review of artificial intelligence techniques used in the detection, classification and visualization of pneumonia disease in lungs using radiographs of chest. In this review, different reliable databases were searched including research gate, ELSEVIER, Applied sciences and IEEE. Pneumonia is a fatal sort of malady on the off chance that we truly couldn't care less. If we don’t diagnose it in its early stages it can be responsible for 50000 deaths every year [59]. There are two kinds of pneumonia: viral and bacterial. Many researchers have done their research for the identification of pneumonia using machine learning and deep learning methods. This study gives you an overview of the machine and deep learning methods proposed previously for the pneumonia detection. The review is structured based on Deep learning, transfer learning and machine learning methods using chest x-rays images for the early identification of pneumonia. The main objective is to find the limitations of the previous studies and suggestions for the future work.